MSc Data Analytics and Finance

Today’s employers in the finance sector need skilled practitioners who have a detailed understanding of financial markets. They’re also searching for graduates who can apply statistical modelling in the context of increasingly complex data now available to financial firms.

Course details

Our data analytics and finance MSc course will teach you these skills, and is the perfect option if you have an interest in big data and data analysis and want to work within the finance and investments sector in a specialised and highly paid role.
  • Mode of study: online
  • Intake: Intakes: September, January, April
  • Course length: 1 year
  • Course fee: 9500 per year

Arden University London

Course overview

With course content that is regularly updated to stay up to speed with the latest developments in this fast-paced sector, you’ll cover topics such as business modelling, data visualisation, financial management, and more, as well as having the chance to complete your own original research project at the end of your final year. 


Entry requirements

To be eligible for our MSc Data Analytics and Finance master’s degree, we need to see that you have:

  • A UK Honours Degree at a minimum of second class (2.2) or equivalent


Whether you want to work in financial analysis, management or accountancy, this course will help you develop the right skills and knowledge. Being able to analyse complex data and use the outcomes to inform effective financial business decisions is a highly sought-after skillset at both management and leadership levels.

Here are just a few of the roles your MSc in financial analytics could lead to:

  • Financial Data Analyst
  • Chief Financial Officer
  • Senior Financial Manager
  • Personal Financial Advisor
  • Investment Banker
  • Quantitative Analyst
  • Business Intelligence Specialist
  • Senior Data Analyst


By completing this course, you’ll have demonstrated that you have the analytical and decision-making capabilities to take the next step up in your career – rising to a senior professional level. You’ll also have the opportunity to collaborate with your international classmates on the course, building your global business network.
  • Data Design
  • Data Handling and Decision Making
  • Data Visualisation and Interpretation
  • Business Modelling for Decision Making
  • Financial Management
  • Reporting Corporate Performance
  • Research Project